A Generally Weighted Moving Average Signed-rank Control Chart

作者：Chakraborty N; Chakraborti S; Human S W; Balakrishnan N

来源：Quality and Reliability Engineering International, 2016, 32(8): 2835-2845.

DOI：10.1002/qre.1968

• control chart
• distribution-free
• average run-length
• generally weighted moving average
• signed-rank statistic

The idea of process monitoring emerged so as to preserve and improve the quality of a manufacturing process. In this regard, control charts are widely accepted tools in the manufacturing sector for monitoring the quality of a process. However, a specific distributional assumption for any process is restrictive and often criticised. Distribution-free control charts are efficient alternatives when information on the process distribution is partially or completely unavailable. In this article, we propose a distribution-free generally weighted moving average (GWMA) control chart based on the Wilcoxon signed-rank statistic. Extensive simulation is performed to study the performance of the proposed chart. The performance of the proposed chart is then compared with a number of existing control charts including the parametric GWMA chart for subgroup averages, a recently proposed GWMA chart based on the sign statistic and an exponentially weighted moving average chart based on the signed-rank statistic. The simulation results reveal that the proposed chart performs just as well as and in many cases better than the existing charts and therefore can serve as a useful alternative in practice.

• 出版日期2016-12